Research on User Experience Engineering Evaluation Algorithm for Human-Computer Interaction Interface of Intelligent Vehicles

This paper proposes a user experience engineering evaluation algorithm for human-computer interaction interface of intelligent vehicles based on fuzzy logic algorithm, aiming to evaluate and optimize through effective user feedback data. The study designed a user experience evaluation model for human-computer interaction of intelligent vehicles, considering key factors such as visual comfort, interactive response speed, and functional convenience. Fuzzy logic algorithm is used to deal with uncertainty and fuzziness problems, and a more accurate user experience evaluation system is constructed. The system algorithm design combines multi-dimensional data input to simulate the model to ensure the accuracy and stability of the algorithm. The simulation results show that the algorithm has significant advantages in evaluation accuracy, user satisfaction prediction, etc., and has good practical application potential. Data analysis shows that the system can provide users with a more optimized interactive experience in complex driving environments and improve the overall user satisfaction of intelligent vehicles. Through precise data analysis of algorithm simulation, its effectiveness in improving the quality of human-computer interaction and optimizing user experience is verified.